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    Coursera
    1. Probability Theory, Statistics and Exploratory Data Analysis
    2. Week 6
    3. Final project
    PreviousNext
      • Completed
        Video: LectureIntroduction to the 6th week
        . Duration: 2 minutes2 min
      • Completed
        Video: LectureTwo numeric variables. Scatter plot and levels of population's joint PDF
        . Duration: 10 minutes10 min
      • Completed
        Video: LectureSample covariance and Pearson's correlation
        . Duration: 16 minutes16 min
      • Completed
        Video: LectureCorrelation vs causation
        . Duration: 11 minutes11 min
      • Completed
        Quiz: Correlation and causation
        1 question
      • Completed
        Video: LectureRank correlations for non-linearly dependent data and ordered categorical data
        . Duration: 13 minutes13 min
      • Completed
        Quiz: Correlation urban legends
        1 question
      • Completed
        Video: LectureFinding correlations in Pandas
        . Duration: 11 minutes11 min
      • Completed
        Video: LectureCorrelations and visualizations. Highlights
        . Duration: 3 minutes3 min
      • Purchase a subscription to unlock this item.
        Completed
        Lab: Final project Lab
        . Duration: 3 hours3h
      • Completed
        Quiz: Final project
        10 questions
      • Completed
        Video: LectureCourse summary. What's next?
        . Duration: 2 minutes2 min
    QuizQuiz • 1h1 hour

    Final project

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    Due DateJun 29, 2:59 AM EDTJune 29, 2:59 AM EDT
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    Final project
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    Final project

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    1.
    Question 1

    To answer the following questions you have to analyse dataset flags.csv. You can either install Anaconda to your local computer, download file flags.csv from Course resources, put it into your Jupyter working folder (for example, using Jupyter upload feature) and analyse locally, or just use our Final Project Lab — everything is ready here.

    First of all, you have to read dataset using pd.read_csv and save the resulting dataframe in some variable.

    H​ow many variables are in dataset?

    1 / 1 point
    30
    Check
    Correct
    2.
    Question 2

    W​hat is the type of variable area?

    1 / 1 point
    Check
    Correct
    3.
    Question 3

    W​hat is the type of variable mainhue?

    1 / 1 point
    Check
    Correct
    4.
    Question 4

    W​hat is the type of variable religion?

    1 / 1 point
    Check
    Correct
    5.
    Question 5

    H​ow many levels present in variable mainhue?

    1 / 1 point
    8
    Check
    Correct
    6.
    Question 6

    W​hat is the mode of variable mainhue?

    1 / 1 point
    red
    Check
    Correct
    7.
    Question 7

    A​ssume I choose random flag from the dataset (all flags can be chosen with equal probabilities). What is the probability that this flag's main hue is blue? Enter proper fraction (like 12/25).

    1 / 1 point
    2097\frac{20}{97}9720​
    20/97
    Check
    Correct
    8.
    Question 8

    I​ selected a flag randomly (all flags have equal probabilities). Consider two events: AAA: 'this flag has no circles' and BBB: 'this flag has no bars'. Find P(A∣B)P(A\mid B)P(A∣B). Enter proper fraction (e.g. 12/13).

    H​int: you can use pd.crosstab() to get a table of co-occurrences of variables circles and bars. Arguments of this function are two columns of your dataframe.

    1 / 1 point
    131159\frac{131}{159}159131​
    131/159
    Check
    Correct
    9.
    Question 9

    I​ selected a flag randomly (all flags have equal probabilities). Consider two random variables: XXX=number of bars on the flag and YYY=number of crosses on the flag. Are they independent?

    1 / 1 point
    Check
    Correct
    10.
    Question 10

    F​ind Pearson's correlation coefficient between area and population up to 2 decimal places after decimal point.

    1 / 1 point
    0.52
    Check
    Correct